- Core Definition and Historical Context of AI: Begin by explaining how Artificial Intelligence (AI) is generally defined in the article as the use of a computer to model intelligent behavior with minimal human intervention. Detail its widely accepted starting point with the invention of robots. Trace the historical evolution of robots, noting the origin of the term ‘robota’ from the Czech writer Karel Capek’s 1921 play, ‘R.U.R’. Include significant historical figures and developments such as Yan Shi’s humanoid automaton in 3rd century China, al-Jazari’s creations in the 12th century, Leonardo da Vinci’s 1495 sketches of a knight robot, Jacques de Vaucanson’s “Flute Player” in the 18th century, and William Gray Walter’s electronic autonomous robot “Machina Speculatrix” in 1948. Finally, explain how John McCarthy coined the term “artificial intelligence” in 1955 and how the field was officially born at a Dartmouth College conference in 1956.
- Two Main Branches of AI in Medicine: Elaborate on the article’s classification of AI applications in medicine into two main branches: virtual and physical.
- Virtual Branch: Describe how this branch includes informatics approaches from deep learning information management to control of health management systems. Provide examples such as:
- Machine Learning (Deep Learning), noting its three types: unsupervised (finding patterns), supervised (classification and prediction), and reinforcement learning (strategy formation via rewards/punishments).
- Its impact on discoveries in genetics and molecular medicine, including unsupervised protein–protein interaction algorithms for therapeutic target discoveries and novel computational methods for identifying DNA variants.
- Application in “systems thinking” for healthcare through multi-agent systems (MAS) to manage chronic mental diseases, facilitating global care coordination, process mapping, and cost reduction.
- The use of electronic medical records (EMR) for identifying disease risks, improving organizational performance, and capturing data for research and personalized medicine, emphasizing the need for integration and interoperability.
- The use of softbots as psychotherapeutic avatars, citing examples like pain control in children with cancer, detection of emotional disturbances in youngsters, and managing paranoid hallucinations, noting their potential in elderly care and home care.
- Physical Branch: Explain that this branch is best represented by robots used to assist patients or surgeons, including targeted nanorobots. Detail examples such as:
- Carebots as helpers for the aging population with cognitive decline or limited mobility, particularly advanced in Japan.
- Robots in surgery, like the Da Vinci surgical system, approved by the FDA in 2000, which facilitates complex, minimally invasive procedures such as prostatectomies, gynecologic surgeries, and cardiac valve repair.
- The impressive utility of robots in communicating with and teaching autistic children.
- Nanorobots designed for guided drug delivery to target organs, tissues, or tumors, specifically mentioning the use of Magnetococcus marinus for delivering nanoliposomes to hypoxic tumor regions.
- Virtual Branch: Describe how this branch includes informatics approaches from deep learning information management to control of health management systems. Provide examples such as:
- Societal and Ethical Considerations: Discuss the societal and ethical complexities that the article emphasizes must be addressed for wider AI application. Highlight concerns such as human–robot interaction (HRI) and the notion of the “uncanny valley” regarding humanoid robots. Mention the major challenges related to the need for standardized, comparative evaluation of robotic systems on health indicators, psychological status, side effects, and outcomes. Furthermore, include the broader apprehension that AI might surpass human capabilities and control lives, as expressed by figures like Stephen Hawking.
- Future Outlook and Challenges: Conclude by describing the article’s vision for AI’s future in personalized and participative healthcare. Reference Takashi Kido’s proposal of MyFinder as a personalized community computing platform for genome services. Explain how the open AI ecosystem was named one of the most important emerging technologies by the World Economic Forum in 2016 due to unprecedented data availability and advancements in natural language processing. Finally, outline the crucial steps for AI to realize its societal benefits: creating ethical standards, developing measures of success and effectiveness, making it available to the mainstream through open-source and user-friendly tools, and proving its clinical utility.”
Reference: Hamet, P., & Tremblay, J. (2017). Artificial intelligence in medicine. Metabolism Clinical and Experimental, 69, S36–S40. http://dx.doi.org/10.1016/j.metabol.2017.01.015
